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How we can check for more than one edge passing through a pixel
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Some pixel have more than one edge how can determine the number of edges passing through one pixel.
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Answers (2)
Image Analyst
on 1 Apr 2014
If the edges are binary, like the pixel is 1 if an edge is at that pixel and 0 if there is no edge there, then you can just identify pixels that have more than 2 neighbors.
kernel = [1,1,1;1,0,1;1,1,1]; % Map of where the 8 neighbors lie.
numNeighbors = conv2(binaryEdgeImage, kernel, 'same'); % Count neighbors
moreThan1 = numNeighbors >= 3; % Binary image: 1 if 3 or more neighbors at each pixel.
imshow(moreThan1); % Display it.
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Ashish Uthama
on 1 Apr 2014
When looking for 3x3 (or 2x2) patterns, BWLOOKUP is usually faster and more flexible:
function bw = multiedge(bwedge)
lut = makelut(@getlookup, 3);
bw = bwlookup(bwedge,lut);
function isMultiEdge = getlookup(x)
% See help for makelut. You can customize what a 'multi edge'
% pixel ought to look like.
x(2,2) = 0;
isMultiEdge = sum(x(:))>=3;
end
end
Note - You need to define what you mean by multiedge. For example, IA's and the above code snippet will give:
edge =
1 1 0
0 1 0
0 0 1
>> multiedge(a)
ans =
0 0 0
1 1 1
0 0 0
3 Comments
Ashish Uthama
on 1 Apr 2014
In either case, a non edge pixel cannot be a multiedge pixel, correct? ((2,1) in ans above).
So Adel should either (preferably) fold his/her definition of multiedge into the computation, or clean up the results by masking in with the original edge image.
Image Analyst
on 1 Apr 2014
True. In my code I should have made sure that the center pixel was 1 instead of "don't care". I guess that's the kind of mistakes that show up sometimes when I just post code off the top of my head and don't test them.
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